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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 5451
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    Explanations

    words related to the occurrence or happening of events, occurrences, or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the frequency or prevalence of events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jer
    -0.82
    Crew
    -0.82
    pees
    -0.79
    strap
    -0.79
    Wan
    -0.77
    iago
    -0.76
    ebus
    -0.76
    shaw
    -0.74
    Nap
    -0.72
    iors
    -0.71
    POSITIVE LOGITS
     occurrence
    1.42
     occurrences
    1.21
    ciation
    0.91
     ende
    0.83
     sighting
    0.80
    nces
    0.80
    urrence
    0.77
    ccording
    0.74
    SHIP
    0.72
    chnology
    0.72
    Activations Density 0.025%

    No Known Activations